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What is Crisp Set

Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
A conventional set for which an element is either a member of the set or not.
Published in Chapter:
Fuzzy System Dynamics of Manpower Systems
Michael Mutingi (University of Johannesburg, South Africa & University of Botswana, Botswana) and Charles Mbohwa (University of Johannesburg, Johannesburg, South Africa)
DOI: 10.4018/978-1-4666-4450-2.ch030
Abstract
Manpower recruitment and training in uncertain and turbulent environments is a challenge to decision makers in large organizations. In the absence of numerical precision on market growth and the ensuing manpower demand, designing manpower planning policies is vital. Often times, companies incur losses due to overstaffing and/or understaffing. For instance, organizations lose business when critical human resources leave. As a result, it is essential to develop robust effective dynamic recruitment and training policies, especially in a fuzzy and dynamic environment. In this chapter, a fuzzy systems dynamics modeling approach is developed to simulate and evaluate alternative dynamic policies relating skills recruitment, skills training, and available skills from a systems thinking perspective. Fuzzy system dynamics is implemented based on fuzzy logic and system dynamics concepts in order to arrive at robust strategies for manpower decision makers. It is anticipated that fuzzy system dynamics can help organizations to design effective manpower recruitment strategies in a dynamic and uncertain environment.
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More Results
Intuitionistic Fuzzy Image Processing
A set defined using a characteristic function that assigns a value of either 0 or 1 to each element of the universe, thereby discriminating between members and non-members of the crisp set under consideration. In the context of fuzzy sets theory, we often refer to crisp sets as “classical” or “ordinary” sets.
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Fuzzy Rock Mass Rating: Soft-Computing-Aided Preliminary Stability Analysis of Weak Rock Slopes
In a crisp set, elements have a boolean state of obedience that implies either membership or not.
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Fuzzy System Dynamics: An Application to Supply Chain Management
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A Fuzzy Simulated Evolution Algorithm for Hard Problems
A conventional set for which an element is either a member of the set or not.
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Estimating Levels of Learning Outcomes Acquirement Based on Fuzzy Sets, Relations, and Their Compositions
A set, which each element has got the degree of membership 1 and for a complement of this set, each element has got the membership equals 0.
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